A dataset of DFT-calculated structures for BFCZ materials, accompanied by raw experimental data on material properties and cell performance. The data was created by Dane Morgan and is associated with research on unconventional oxygen reduction catalysts. It is hosted on the paperswithcode platform under an Open Access (green) license.
Use Cases
- Validate computational design strategies for catalysts based on DFT-calculated structures.
- Correlate theoretical material structures with experimental cell performance metrics.
- Train machine learning models to predict catalyst activity from material property data.
Strengths
- Includes both computational (DFT) and raw experimental data, enabling direct comparison.
- Associated with a specific, peer-reviewed research paper on catalyst design.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Dane Morgan
- Collection Method
- Data likely generated from density functional theory (DFT) calculations and laboratory experiments.